
Actual performance
214upvotes
19comments
Made the leaderboard
Traction signals
Makers1
Launch Intel predictions
Analyze your own launch →87%87% predicted probability of success on BetaList, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
67%67% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
47%47% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
41%41% predicted probability of success on Hacker News, based on ML models trained on real launch data.
34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.
18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
17%17% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Kadere51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
a companion for learning from videos, on the go.
Curo34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Your AI-powered Learning Companion
We
We're Fixing "Learning" with AI30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
We're Fixing "Learning" with AI
Recallify44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AI-powered memory & learning companion
Qu
Quantifying Learning54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Quantifying Learning
I’
I’m still learning54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I’m still learning
Le
Learning GraphQL75%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Learning GraphQL
Cr
Crammut. A trello for e-learning58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Crammut. A trello for e-learning
Fe
Federated Learning54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Federated Learning
Le
Learning SICP with Understudy54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Learning SICP with Understudy